Issue 47, 2023

The in situ phosphorization inducing oxygen vacancies in the core–shell structured NiFe oxides boosts the electrocatalytic activity for the oxygen evolution reaction

Abstract

Transition metal-based oxides have been reported as an important family of electrocatalysts for water splitting owing to their possible large-scale applications that are highly desirable for the hydrogen generation industry. Herein, we report a facile method for the preparation of phosphate-decorated NiFe oxides on nickel foam as efficient oxygen evolution reaction (OER) electrocatalysts for water oxidation. The OER electrocatalysts were developed through the pyrolysis of MIL(Fe) metal–organic frameworks (MOFs), which were modified with Ni and P species. It was found that the formation of NiO on the Fe2O3 surface (NiO@Fe2O3) can enrich electrocatalytic active sites for the OER. Meanwhile, the incorporation of P into NiO@Fe2O3 (Px-NiO@Fe2O3) creates abundant oxygen vacancies, which facilitates the surface charge transfer for OER electrocatalysis. Benefiting from the structure and composition advantages, P2.0-NiO@Fe2O3/NF exhibits the best performance for OER electrocatalysis among other prepared electrocatalysts, with an overpotential of 208 mV at the OER current density of 10 mA cm−2 and a small Tafel slope of 69.64 mV dec−1 in 1 M KOH solution. Additionally, P2.0-NiO@Fe2O3/NF shows an outstanding durability for the OER electrocatalysis, maintaining the OER current density above 20 mA cm−2 for more than 100 h.

Graphical abstract: The in situ phosphorization inducing oxygen vacancies in the core–shell structured NiFe oxides boosts the electrocatalytic activity for the oxygen evolution reaction

Supplementary files

Article information

Article type
Paper
Submitted
12 Sep 2023
Accepted
06 Nov 2023
First published
09 Nov 2023

Dalton Trans., 2023,52, 18000-18009

The in situ phosphorization inducing oxygen vacancies in the core–shell structured NiFe oxides boosts the electrocatalytic activity for the oxygen evolution reaction

W. Dai, F. Hu, X. Yang, B. Wu, C. Zhao, Y. Zhang and S. Huang, Dalton Trans., 2023, 52, 18000 DOI: 10.1039/D3DT02972G

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